Senior Manufacturing Engineer, Quantum AI
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Minimum qualifications:
- Bachelor’s degree in Manufacturing Engineering, Electrical Engineering, Physics, a related field, or equivalent practical experience.
- 4 years of experience overseeing a hardware manufacturing effort.
- 1 year of experience as a technical leader in a manufacturing environment.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
- 3 years of experience technically leading or managing a team working on development or production of new electrical systems (e.g. satellites, commercial electronics).
- Experience driving yield improvement efforts, Six Sigma methods, SPC (Statistical Process Control), and DOE (Design of Experiments).
- Experience with reliability engineering and failure analysis methods.
- Experience in manufacturing scale-up from an RandD effort to volume production.
- Understanding of mechanical, PCB, or silicon fabrication principles and the constraints they impose on physical device design.
About the job
Google Quantum AI’s team mission is to make useful quantum computing tools available to the world to enable humankind to solve problems that would otherwise be impossible. Quantum AI is building novel systems that can leverage quantum mechanics to outperform the world's largest computers at certain classes of problems.
As a Senior Manufacturing Engineer - Signal Delivery, you will solve the team’s hardware production and assembly challenges. You will be responsible for providing technical leadership to a team of engineers and technicians, to mature manufacturing environment, scaling towards larger volumes and higher quality production of cryogenic wiring components by improving processes and workflows. You will collaborate with the broader team to scale up production and deliver quality hardware of sufficient volume for the future superconducting quantum computers as they scale in complexity and size.
You will bring scale-to-production manufacturing engineering and technical leadership skills to develop the understanding needed to improve quantum hardware system performance, and expertise to rapidly increase production throughput to deliver hardware to support systems with a growing number of qubits in accordance with our roadmap. In addition, the Senior Manufacturing Engineer is expected to provide strategic new insights to improve production quality and scale-up for next-generation hardware development and beyond.
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Collaborate with the team to understand the specifications and set build plans and schedules for production of wiring and interconnect components.
- Lead a team of engineers and technicians (technical leadership) to mature the production environment and deliver adequate quantities of yielded hardware to meet the needs to scale-up our quantum computers.
- Drive manufacturing efforts, collect and analyze data, and troubleshoot designs to feed back to design engineers.
- Help identify and perform failure analysis on failed parts, root cause and help define process improvements to mitigate.
- Work with the team to develop and mature the production environment, including generating well-organized documentation such as standard operating procedures, process travelers, and part inventory.
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